Lab0
AI FDEs to make your B2B SaaS Go Live in Days, not Months
Founding Engineer
About the role
What you will do
- Own difficult problems from prototype through production, including the agent loop, backend, and infrastructure.
- Build agent-facing CLIs, connectors, idempotent API wrappers, and browser automation for enterprise platforms.
- Improve tool design, context management, guardrails, and evaluation loops.
- Own deployments across SaaS, self-hosted, on-prem, and air-gapped environments, including model routing, IAM, and upgrades.
- Work directly with live customer implementations where agent actions have real consequences.
- Use agents to build agents. We expect you to use them heavily instead of defaulting to manual work.
Who we're looking for
You are a strong generalist who has gone deep in backend engineering, infrastructure, ML systems, or another demanding technical area.
You already use agents heavily and have clear opinions about harnesses, evaluation, and context engineering. When documentation is incomplete, you would rather inspect the network traffic than guess.
Unfamiliar systems do not put you off. ABAP and X++ look like puzzles to solve. You think about injection, permissions, audit trails, and blast radius before something reaches production.
You have high agency, low ego, and can work through the ambiguity of early-stage 0→1 development.
Experience with SAP, Salesforce, NetSuite, D365, real-time voice systems, on-prem or air-gapped deployments, govtech, banking, defense, or founding and early-stage roles is a bonus.
About the interview
- Vibe check
- Problem solving (might include writing code)
- Take home assignment + discussion
- Non technical discussion
About Lab0
Lab0 is building autonomous agents that run enterprise software implementations from discovery through go-live and ongoing maintenance.
Today, companies spend months and millions of dollars implementing SAP, Salesforce, NetSuite, or D365 with consulting teams. We are building specialized agents to handle that work:
- Discovery agent: joins customer meetings, asks questions, gathers requirements, and calls tools in real time.
- Planning agent: creates SoWs, design documents, proposals, and RFPs in each customer's format.
- Config agent: implements systems through APIs and browser automation, reverse-engineers undocumented behavior, and writes connectors and workflows in languages such as ABAP and X++.
- Testing agent: finds configuration problems, tests edge cases, and supports user acceptance testing.
- Change request agent: handles maintenance and updates after go-live.
The agents share a semantic layer for each client and platform, allowing knowledge from one implementation to improve the next.
